Implicit relevance feedback for context-aware information retrieval in UbiLearning environments Export

@inproceedings{martins_SAC_2009, abstract = {Ubiquitous Learning (UbiLearning) environments heavily employ mobile devices to empower users with mobility and tooling support to learn anytime, anywhere. Introducing mobile devices in educational settings imposes constraints on search behavior due to limited resources on these devices such as small screens and restricted input functionalities. Targeting this scenario, this paper proposes an architecture for implicit relevance feedback which considers users' work context to expand search queries in order to satisfy information needs with greater precision. Evaluation results conducted over a local test collection enriched with contextual features reveal improvements on average precision when compared to a pseudo relevance feedback baseline.}, address = {New York, NY, USA}, author = {Martins, Diogo S. and Biajiz, Mauro and do Prado, Antonio F. and de Souza, Wanderley L.}, booktitle = {SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing}, citeulike-article-id = {4498320}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1529282.1529418}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1529282.1529418}, doi = {10.1145/1529282.1529418}, isbn = {978-1-60558-166-8}, keywords = {context, contextualit, implicit, ir, relevance-feedback, ubiquous}, location = {Honolulu, Hawaii}, pages = {659--663}, posted-at = {2009-11-04 12:15:53}, priority = {2}, publisher = {ACM}, title = {Implicit relevance feedback for context-aware information retrieval in UbiLearning environments}, url = {http://dx.doi.org/10.1145/1529282.1529418}, year = {2009} }

TY - CONF ID - martins_SAC_2009 L3 - citeulike-article-id:4498320 N2 - Ubiquitous Learning (UbiLearning) environments heavily employ mobile devices to empower users with mobility and tooling support to learn anytime, anywhere. Introducing mobile devices in educational settings imposes constraints on search behavior due to limited resources on these devices such as small screens and restricted input functionalities. Targeting this scenario, this paper proposes an architecture for implicit relevance feedback which considers users' work context to expand search queries in order to satisfy information needs with greater precision. Evaluation results conducted over a local test collection enriched with contextual features reveal improvements on average precision when compared to a pseudo relevance feedback baseline. CY - Honolulu, Hawaii SN - 978-1-60558-166-8 AD - New York, NY, USA EP - 663 TI - Implicit relevance feedback for context-aware information retrieval in UbiLearning environments PB - ACM T2 - SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing SP - 659 KW - context KW - contextualit KW - implicit KW - ir KW - relevance-feedback KW - ubiquous AU - Martins, Diogo AU - Biajiz, Mauro AU - do Prado, Antonio AU - de Souza, Wanderley PY - 2009/// UR - http://dx.doi.org/10.1145/1529282.1529418 ER -